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WANG Bo (王勃), Robert GRANETZ, XIAO Bingjia (肖炳甲), LI Jiangang (李建刚), YANG Fei (杨飞), LI Junjun (李君君), CHEN Dalong (陈大龙). Establishment and Assessment of Plasma Disruption and Warning Databases from EAST[J]. Plasma Science and Technology, 2016, 18(12): 1162-1168. DOI: 10.1088/1009-0630/18/12/04
Citation: WANG Bo (王勃), Robert GRANETZ, XIAO Bingjia (肖炳甲), LI Jiangang (李建刚), YANG Fei (杨飞), LI Junjun (李君君), CHEN Dalong (陈大龙). Establishment and Assessment of Plasma Disruption and Warning Databases from EAST[J]. Plasma Science and Technology, 2016, 18(12): 1162-1168. DOI: 10.1088/1009-0630/18/12/04

Establishment and Assessment of Plasma Disruption and Warning Databases from EAST

  • Disruption database and disruption warning database of the EAST tokamak had been established by a disruption research group. The disruption database, based on Structured Query Language (SQL), comprises 41 disruption parameters, which include current quench characteristics, EFIT equilibrium characteristics, kinetic parameters, halo currents, and vertical motion. Presently most disruption databases are based on plasma experiments of non-superconducting tokamak devices. The purposes of the EAST database are to find disruption characteristics and disruption statistics to the fully superconducting tokamak EAST, to elucidate the physics underlying tokamak disruptions, to explore the influence of disruption on superconducting magnets and to extrapolate toward future burning plasma devices. In order to quantitatively assess the usefulness of various plasma parameters for predicting disruptions, a similar SQL database to Alcator C-Mod for EAST has been created by compiling values for a number of proposed disruption-relevant parameters sampled from all plasma discharges in the 2015 campaign. The detailed statistic results and analysis of two databases on the EAST tokamak are presented.
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